R&M Statistical and Research Consultancy

Another thesis successfully defended! 🎓✨

Congratulations to our student-clients from Our Lady of Fatima University on this well-deserved achievement! Masaya kaming naging bahagi ng inyong research journey.

Thank you for trusting us💙

🌧️ Maulan man ang panahon, tuloy pa rin ang research! This time, may kasama pang savings!

Gather 3 to 5 research groups, avail any of our bundled Statistical Analysis Packages, and every participating group gets 𝟏𝟎% 𝐎𝐅𝐅!

How to avail:
✅ Each group must message us separately
✅ Mention the names of all participating groups
✅ Settle the 50% downpayment within 3 days of each other

The promo applies to bundled statistical packages only.

Ready to bundle up and save? Message us now! 💬

Alam mo ba kung alin talaga ang 𝐈𝐧𝐝𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐭 at 𝐃𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐭 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞 sa study mo? 🤔

Kapag nagbago ang isang variable, ano ang inaasahan mong magbago rin? Ano ang outcome na gusto mong sukatin? At ano pang factors ang maaaring makaapekto sa result? Mahalagang malinaw ang sagot sa mga ito dahil ang maling identification ng variables ay pwedeng magdulot ng misalignment sa research questions, hypotheses, instrument, at stat analysis.

✅𝐈𝐧𝐝𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐭 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞 (𝐈𝐕)
Ito ang variable na ginagamit upang ipaliwanag o i-predict ang pagbabago o pagkakaiba sa DV. Sa madaling salita, ito ang factor na tinitingnan ng researcher upang malaman kung may kaugnayan ito sa outcome ng study.

✅𝐃𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐭 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞 (𝐃𝐕)
Ito ang main outcome o response na sinusukat, o pini-predict sa study. Sa madaling salita, ito ang result na tinitingnan ng researcher kung nagbabago o nagkakaiba based sa IV.

✅𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞𝐬
Ito ang ibang factors na hindi pangunahing focus ng study, pero maaari ring may kaugnayan sa DV. Kino-control ang mga ito para mas malinaw na ma-examine ang relationship sa pagitan ng IV at DV at mabawasan ang ibang posibleng paliwanag sa findings.

🌟𝙀𝙭𝙖𝙢𝙥𝙡𝙚
"Relationship Between Social Media Use and Academic Performance, Controlling for Study Time and Previous Grades"

Independent: 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮 𝗨𝘀𝗲
Dependent: 𝗔𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲
Control: 𝗦𝘁𝘂𝗱𝘆 𝗧𝗶𝗺𝗲 and 𝗣𝗿𝗲𝘃𝗶𝗼𝘂𝘀 𝗚𝗿𝗮𝗱𝗲𝘀

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References:

Holmes, A., Illowsky, B., & Dean, S. (2017). Introductory Business Statistics. OpenStax

Pennsylvania State University. (n.d.). Explanatory and Response Variables. STAT 200

Pennsylvania State University. (n.d.). Causal Conclusions. STAT 200

Pourhoseingholi, M. A., Baghestani, A. R., & Vahedi, M. (2012). How to control confounding effects by statistical analysis. Gastroenterology and Hepatology from Bed to Bench, 5(2), 79–83. https://doi.org/10.22037/ghfbb.v5i2.246

A little late post, but still worth celebrating.

Congratulations to our student clients from 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐨𝐟 𝐒𝐚𝐧𝐭𝐨 𝐓𝐨𝐦𝐚𝐬 – 𝐒𝐞𝐧𝐢𝐨𝐫 𝐇𝐢𝐠𝐡 𝐒𝐜𝐡𝐨𝐨𝐥 for winning 𝘽𝙚𝙨𝙩 𝙍𝙚𝙨𝙚𝙖𝙧𝙘𝙝 𝙋𝙧𝙚𝙨𝙚𝙣𝙩𝙚𝙧 during their UST-SHS Research Congress held last April 29, 2026.

Thank you for trusting us with your statistical analysis and assistance in your research revisions. Your hard work truly paid off!

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Need assistance with your research? Send us a message today! 📩

𝐖𝐇𝐀𝐓 𝐓𝐎 𝐄𝐗𝐏𝐄𝐂𝐓 𝐅𝐑𝐎𝐌 𝐀 𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 𝐂𝐎𝐍𝐒𝐔𝐋𝐓𝐀𝐓𝐈𝐎𝐍

May research topic na kayo pero hindi pa sure kung aligned ang research objectives, methodology, instrument, at statistical analysis? Or may comments ang adviser or panel na hindi ninyo alam kung paano ia-address? 🤔

A research consultation should not just about confirming kung tama ang initial plan ninyo. Dapat makita din kung may mga parts na hindi aligned, linawin ang methodology, at mag-recommend ng necessary revisions bago kayo mag-proceed sa data collection or statistical analysis..

𝘽𝙚𝙛𝙤𝙧𝙚 𝙩𝙝𝙚 𝘾𝙤𝙣𝙨𝙪𝙡𝙩𝙖𝙩𝙞𝙤𝙣
To help us properly assess your study, prepare and send:
✅Research proposal or available chapters
✅Research objectives and hypotheses, if applicable
✅Framework, methodology, and research instrument
✅Sampling details, panel comments, and dataset, if available

𝘿𝙪𝙧𝙞𝙣𝙜 𝙩𝙝𝙚 𝘾𝙤𝙣𝙨𝙪𝙡𝙩𝙖𝙩𝙞𝙤𝙣
Depending on your concerns, we may discuss:
✅Alignment of the objectives, design, and methodology
✅Variables, instrument, sampling, and sample size
✅Data preparation, statistical analysis, and interpretation
✅Panel comments, potential limitations, and necessary revisions

Send your complete materials in advance and prepare your specific questions. The more complete the information provided, the more focused and productive the consultation will be.

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Need guidance on your research methodology, instrument, sampling, or statistical analysis? Message us to schedule a consultation.

Congratulations to our student clients from 𝗣𝗛𝗜𝗡𝗠𝗔 – 𝗦𝗮𝗶𝗻𝘁 𝗝𝘂𝗱𝗲 𝗖𝗼𝗹𝗹𝗲𝗴𝗲 𝗠𝗮𝗻𝗶𝗹𝗮 for successfully defending their research and receiving the Best Paper Award!🎉 Napakahuhusay!

Working on your research? Let us assist you with statistical analysis and research consultation. Message us now!

𝓐𝓾𝓰𝓾𝓼𝓽 𝓷𝓪! Start na naman ng research season!

Habang sinisimulan nyong buuin ang methodology, isa sa mga unang dapat linawin ay kung ano nga ba ang tamang research design para sa inyong study? Experimental, quasi-experimental, o non-experimental? 🤔

𝗘𝗫𝗣𝗘𝗥𝗜𝗠𝗘𝗡𝗧𝗔𝗟, 𝗤𝗨𝗔𝗦𝗜-𝗘𝗫𝗣𝗘𝗥𝗜𝗠𝗘𝗡𝗧𝗔𝗟, 𝗢𝗥 𝗡𝗢𝗡-𝗘𝗫𝗣𝗘𝗥𝗜𝗠𝗘𝗡𝗧𝗔𝗟?

These research designs differ primarily in whether an intervention is introduced and whether the participants or other study units are randomly assigned to conditions (Shadish et al., 2002).

🔬 𝐄𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐥 𝐃𝐞𝐬𝐢𝐠𝐧

In a true experimental design, the researcher introduces an intervention or manipulates an independent variable and randomly assigns participants to comparison groups. This reduces selection bias and strengthens the basis for determining whether the intervention caused the observed outcome (Shadish et al., 2002).

Example: Gustong i-test ng researcher kung effective ba ang isang bagong teaching method. Random niyang ia-assign ang students sa dalawang groups: one group will use the new method, while the other will use the usual method. Afterward, iko-compare niya ang test scores ng dalawang groups.

⚖️ 𝐐𝐮𝐚𝐬𝐢-𝐄𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐥 𝐃𝐞𝐬𝐢𝐠𝐧

A quasi-experimental design tests an intervention without randomly assigning participants to study conditions. It may use existing groups, pretests and posttests, comparison groups, or repeated measurements. Since there is no random assignment, the groups may already differ before the intervention, but these methods can help strengthen the study’s validity (Capili & Anastasi, 2024; Shadish et al., 2002).

Example: Gustong i-test ng researcher kung effective ba ang isang wellness program sa pagpapababa ng stress ng employees. I-implement niya ang program sa isang existing department, while another department will continue with its usual routine. Since hindi random ang pag-assign ng participants sa conditions, quasi-experimental ang design.

📊 𝐍𝐨𝐧-𝐄𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐥 𝐃𝐞𝐬𝐢𝐠𝐧

In a non-experimental design, the researcher observes and measures variables as they naturally occur without introducing an intervention or manipulating the study conditions. It can describe characteristics, examine relationships, make predictions, or compare naturally existing groups, but it cannot directly establish cause and effect (Creswell & Creswell, 2023; Shadish et al., 2002).

Example: Gustong alamin ng researcher kung may relationship ba ang social media use at stress level ng students. Magko-collect lang siya ng data tungkol sa screen time at stress level nila without changing their routine or introducing any program. Since observation and measurement lang ang ginawa, non-experimental ang design.

𝙌𝙪𝙞𝙘𝙠 𝙂𝙪𝙞𝙙𝙚
✅ Intervention with random assignment to study conditions → Experimental
✅ Intervention without random assignment to study conditions → Quasi-experimental
✅ No intervention or manipulation; variables are only observed or measured → Non-experimental

Note: Magkaiba ang random assignment at random sampling. Sa random assignment, ang participants ay randomly inilalagay sa treatment or comparison groups. Sa random sampling naman, random ang paraan ng pagpili kung sino ang sasali sa study.
Also, hindi porke may pretest at posttest, quasi-experimental na agad ang design. Dapat may intervention or treatment na tine-test ang researcher.

𝘕𝘰𝘵 𝘴𝘶𝘳𝘦 𝘸𝘩𝘪𝘤𝘩 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘥𝘦𝘴𝘪𝘨𝘯 𝘪𝘴 𝘢𝘱𝘱𝘳𝘰𝘱𝘳𝘪𝘢𝘵𝘦 𝘧𝘰𝘳 𝘺𝘰𝘶𝘳 𝘴𝘵𝘶𝘥𝘺? 𝘚𝘦𝘯𝘥 𝘶𝘴 𝘺𝘰𝘶𝘳 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘰𝘣𝘫𝘦𝘤𝘵𝘪𝘷𝘦𝘴 𝘢𝘯𝘥 𝘱𝘳𝘰𝘱𝘰𝘴𝘦𝘥 𝘮𝘦𝘵𝘩𝘰𝘥𝘰𝘭𝘰𝘨𝘺 𝘴𝘰 𝘸𝘦 𝘤𝘢𝘯 𝘢𝘴𝘴𝘦𝘴𝘴 𝘵𝘩𝘦 𝘢𝘱𝘱𝘳𝘰𝘱𝘳𝘪𝘢𝘵𝘦 𝘥𝘦𝘴𝘪𝘨𝘯 𝘢𝘯𝘥 𝘴𝘵𝘢𝘵𝘪𝘴𝘵𝘪𝘤𝘢𝘭 𝘢𝘯𝘢𝘭𝘺𝘴𝘪𝘴.

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References:

Capili, B., & Anastasi, J. K. (2024). An introduction to types of quasi-experimental designs. American Journal of Nursing, 124(11), 50–52. https://doi.org/10.1097/01.NAJ.0001081740.74815.20

Creswell, J. W., & Creswell, J. D. (2023). Research design: Qualitative, quantitative, and mixed methods approaches (6th ed.). SAGE Publications.

Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Houghton Mifflin.

🎉 Celebrating 𝟐 𝐘𝐞𝐚𝐫𝐬 of trust and service! 🎉

For the past two years, we have been privileged to support students, researchers, and professionals in transforming their data into clear results.

To all our client who trusted, and recommended us, thank you so much! Your confidence inspires us to continuously provide reliable and quality research and statistical services.

Here’s to more studies completed, goals achieved, and milestones shared! 💙

We just reached 𝟭,𝟬𝟬𝟬 𝓸𝓻𝓰𝓪𝓷𝓲𝓬 𝗳𝗼𝗹𝗹𝗼𝘄𝗲𝗿𝘀! 🎉

This milestone was built mostly through organic growth, genuine support, referrals, and clients who continue to believe in our work.

As we enter the month of 𝐉𝐮𝐥𝐲, we are excited to continue helping more students, researchers, and professionals. We are truly grateful to everyone who followed, shared, recommended, and trusted us for their research and statistical needs.

𝘛𝘩𝘢𝘯𝘬 𝘺𝘰𝘶 𝘧𝘰𝘳 𝘨𝘳𝘰𝘸𝘪𝘯𝘨 𝘸𝘪𝘵𝘩 𝘶𝘴! ❤️